Clinical Alzheimer Research Articles

Consistent genes associated with structural changes in clinical Alzheimer’s disease spectrum

Consistent genes associated with structural changes in clinical Alzheimer’s disease spectrum

Global genomic profile of hippocampal endothelial cells by single-nuclei RNA sequencing in female diabetic mice is associated with cognitive dysfunction.

Type II diabetes mellitus (T2D) is a chronic metabolic disease and a risk factor for cardiovascular disease and cerebrovascular dysfunction including vascular dementia. Sex differences in the prevalence of T2D, dementia, and global genomic changes in the brain have been observed; however, most studies have been performed in males. Therefore, our aim was to evaluate the consequence of T2D on cognitive function and decipher the underlying molecular transcriptomic mechanisms of endothelial cells in an important brain memory center, the hippocampus, using a female murine diabetes model. We assessed cognitive function, metabolic parameters, and then performed hippocampal single-nuclei RNA sequencing (snRNA seq) in adult female db/db and control wild-type (WT) mice. db/db mice exhibited characteristic T2D metabolism with hyperglycemia, hyperinsulinemia, and hyperlipidemia when compared with WT mice. Female db/db mice presented cognitive decline compared with wild-type mice, as determined by open field and Morris water maze tests. snRNAseq showed that T2D induced significant changes in the global transcriptomic profile of hippocampal endothelial cells by modulating the expression of not only protein-coding genes but also long noncoding RNAs. These genes regulate cell-cell junctions, cell chemotaxis, actin cytoskeleton organization, and cell adhesion, suggesting that diabetes increases endothelial cell permeability. Observed genomic changes also correlated with the genetics of persons with clinical Alzheimer's disease and vascular dementia. In conclusion, T2D, by transcriptional and posttranscriptional regulation, regulates endothelial cell dysfunction predictive of increased vascular permeability, and negatively impacts cognitive function. Our work has implications for sex-specific molecular therapeutic targets for dementia in females.NEW & NOTEWORTHY Female db/db mice presented cognitive decline as determined by open field and Morris water maze tests. snRNAseq showed that T2D induced changes in the global transcriptomic profile of hippocampal endothelial cells by modulating the expression of not only protein-coding genes but also long noncoding RNAs. These genes regulate cell-cell junctions, cell chemotaxis, or cell adhesion, suggesting increased endothelial permeability. Genomic changes correlated with the genetics of persons with clinical Alzheimer's disease and vascular dementia.

Cognitive dispersion and its functional relevance in behavioral variant frontotemporal dementia and prodromal behavioral variant frontotemporal dementia.

Executive dysfunction is characteristic of behavioral variant frontotemporal dementia (bvFTD) but can be challenging to detect. Dispersion-based intraindividual variability (IIV-d) is hypothesized to reflect a sensitive index of executive dysfunction and has demonstrated relevance to functional decline but has not been evaluated in bvFTD. We report on 477 demographically matched participants (159 cognitively healthy [CH], 159 clinical Alzheimer's disease [AD], 159 clinical bvFTD/prodromal bvFTD) who completed the Uniform Data Set 3.0 Neuropsychological Battery. IIV-d was measured using the coefficient of variance (CoV; raw and demographically adjusted) across 12 Uniform Data Set 3.0 Neuropsychological Battery indicators and the informant-rated Functional Activities Questionnaire assessed daily functioning. Analysis of covariance showed that participants in the bvFTD/prodromal bvFTD group exhibited higher raw and demographically adjusted CoV compared to CH participants, at a very large effect size (d = 1.28-1.47). Demographically adjusted (but not raw) CoV was lower in the bvFTD/prodromal bvFTD group than the AD group, though the effect size was small (d = .38). Both CoV metrics accurately differentiated the bvFTD/prodromal bvFTD and CH groups (areas under the curve = .84), but not bvFTD/prodromal bvFTD and AD groups (areas under the curve = .59). Regression analyses in the bvFTD/prodromal bvFTD group indicated that higher IIV-d on both metrics was associated with greater daily functioning impairment, over and above covariates. Compared to healthy adults, individuals with bvFTD/prodromal bvFTD show greater levels of performance variability across a battery of neuropsychological measures, which interferes with everyday functioning. These data demonstrate the clinical utility and ecological validity of IIV-d in bvFTD/prodromal bvFTD, though these findings should be replicated in more diverse samples. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Integrated Ultrasound-Enrichment and Machine Learning in Colorimetric Lateral Flow Assay for Accurate and Sensitive Clinical Alzheimer's Biomarker Diagnosis.

The colloidal gold nanoparticle (AuNP)-based colorimetric lateral flow assay (LFA) is one of the most promising analytical tools for point-of-care disease diagnosis. However, the low sensitivity and insufficient accuracy still limit its clinical application. In this work, a machine learning (ML)-optimized colorimetric LFA with ultrasound enrichment is developed to achieve the sensitive and accurate detection of tau proteins for early screening of Alzheimer's disease (AD). The LFA device is integrated with a portable ultrasonic actuator to rapidly enrich microparticles using ultrasound, which is essential for sample pre-enrichment to improve the sensitivity, followed by ML algorithms to classify and predict the enhanced colorimetric signals. The results of the undiluted serum sample testing show that the protocol enables efficient classification and accurate quantification of the AD biomarker tau protein concentration with an average classification accuracy of 98.11% and an average prediction accuracy of 99.99%, achieving a limit of detection (LOD) as sensitive as 10.30pgmL-1. Further point-of-care testing (POCT) of human plasma samples demonstrates the potential use of LFA in clinical trials. Such a reliable lateral flow immunosensor with high precision and superb sensing performance is expected to put LFA in perspective as an AD clinical diagnostic platform.

Identification of 16 novel Alzheimer's disease susceptibility loci using multi-ancestry meta-analyses of clinical Alzheimer's disease and AD-by-proxy cases from four whole genome sequencing datasets.

Alzheimer's disease (AD) is the most prevalent form of dementia. While many AD-associated genetic determinants have been previously identified, few studies have analyzed individuals of non-European ancestry. Here, we describe a multi-ancestry genome-wide association study of clinically-diagnosed AD and AD-by-proxy using whole genome sequencing data from NIAGADS, NIMH, UKB, and All of Us (AoU) consisting of 49,149 cases (12,074 clinically-diagnosed and 37,075 AD-by-proxy) and 383,225 controls. Nearly half of NIAGADS and AoU participants are of non-European ancestry. For clinically-diagnosed AD, we identified 14 new loci - five common (FBN2,/SCL27A6, AC090115.1, DYM, KCNG1/AL121785.1, TIAM1) and nine rare (VWA5B1, RNU6-755P/LMX1A, MOB1A, MORC1-AS1, LINC00989, PDE4D, RNU2-49P/CDO1, NEO1, and SLC35G3/AC022916.1). Meta-analysis of UKB and AoU AD-by-proxy cases yielded two new rare loci (RPL23/LASP1 and CEBPA/ AC008738.6) which were also nominally significant in NIAGADS. In summary, we provide evidence for 16 novel AD loci and advocate for more studies using WGS-based GWAS of diverse cohorts.

Impaired Skeletal Development by Disruption of Presenilin-1 in Pigs and Generation of Novel Pig Models for Alzheimer's Disease.

Presenilin 1 (PSEN1) is one of the genes linked to the prevalence of early onset Alzheimer's disease. In mice, inactivation of Psen1 leads to developmental defects, including vertebral malformation and neural development. However, little is known about the role of PSEN1 during the development in other species. To investigate the role of PSEN1 in vertebral development and the pathogenic mechanism of neurodegeneration using a pig model. CRISPR/Cas9 system was used to generate pigs with different mutations flanking exon 9 of PSEN1, including those with a deleted exon 9 (Δexon9). Vertebral malformations in PSEN1 mutant pigs were examined by X-ray, micro-CT and micro-MRI. Neuronal cells from the brains of PSEN1 mutant pigs were analyzed by immunoflourescence, followed by image analysis including morphometric evaluation via image J and 3D reconstruction. Pigs with a PSEN1 null mutation (Δexon9-12) died shortly after birth and had significant axial skeletal defects, whereas pigs carrying at least one Δexon9 allele developed normally and remained healthy. Effects of the null mutation on abnormal skeletal development were also observed in fetuses at day 40 of gestation. Abnormal distribution of astrocytes and microglia in the brain was detected in two PSEN1 mutant pigs examined compared to age-matched control pigs. The founder pigs were bred to establish and age PSEN1ΔE9/+ pigs to study their relevance to clinical Alzheimer's diseases. PSEN1 has a critical role for normal vertebral development and PSEN1 mutant pigs serves as novel resources to study Alzheimer's disease.

White matter structure and derived network properties are used to predict the progression from mild cognitive impairment of older adults to Alzheimer’s disease

ObjectiveTo identify white matter fiber injury and network changes that may lead to mild cognitive impairment (MCI) progression, then a joint model was constructed based on neuropsychological scales to predict high-risk individuals for Alzheimer's disease (AD) progression among older adults with MCI.MethodsA total of 173 MCI patients were included from the Alzheimer's Disease Neuroimaging Initiative(ADNI) database and randomly divided into training and testing cohorts. Forty-five progressed to AD during a 4-year follow-up period. Diffusion tensor imaging (DTI) techniques extracted relevant DTI quantitative features for each patient. In addition, brain networks were constructed based on white matter fiber bundles to extract network property features. Ensemble dimensionality reduction was applied to reduce both DTI quantitative features and network features from the training cohort, and machine learning algorithms were added to construct white matter signature. In addition, 52 patients from the National Alzheimer's Coordinating Center (NACC) database were used for external validation of white matter signature. A joint model was subsequently generated by combining with scale scores, and its performance was evaluated using data from the testing cohort.ResultsBased on multivariate logistic regression, clinical dementia rating and Alzheimer’s disease assessment scales (CDRS and ADAS, respectively) were selected as independent predictive factors. A joint model was constructed in combination with the white matter signature. The AUC, sensitivity, and specificity in the training cohort were 0.938, 0.937, and 0.91, respectively, and the AUC, sensitivity, and specificity in the test cohort were 0.905, 0.923, and 0.872, respectively. The Delong test showed a statistically significant difference between the joint model and CDRS or ADAS scores (P < 0.05), yet no significant difference between the joint model and the white matter signature (P = 0.341).ConclusionThe present results demonstrate that a joint model combining neuropsychological scales can be constructed by using machine learning and DTI technology to identify MCI patients who are at high-risk of progressing to AD.

CAPS: a simple clinical tool for β-amyloid positivity prediction in clinical Alzheimer syndrome.

With the advent of anti-β-amyloid therapies, clinical distinction between Aβ + and Aβ- in cognitive impairment is becoming increasingly important for stratifying referral and better utilization of biomarker assays. Cognitive profile, rate of decline, neuropsychiatric inventory questionnaire (NPI-Q), and imaging characteristics were collected from 52 subjects with possible/probable AD. Participants with Aβ+ status had lower baseline MMSE scores (24.50 vs. 26.85, p = 0.009) and higher total NPI-Q scores (2.73 vs. 1.18, p < 0.001). NPI-Q score was found to be the only independent predictor for β-amyloid positivity (p = 0.008). A simple scoring system, namely Clinical β-Amyloid Positivity Prediction Score (CAPS), was developed by using the following parameters: NPI-Q, rapidity of cognitive decline, and white matter microangiopathy. Data from 48 participants were included in the analysis of accuracy of CAPS. CAP Score of 3 or 4 successfully classified Aβ + individuals in 86.7% cases. Clinical β-Amyloid Positivity Prediction Score is a simple clinical tool for use in primary care and memory clinic settings to predict β-amyloid positivity in individuals with clinical Alzheimer Syndrome can potentially facilitate referral for Anti Aβ therapies.

Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients

BackgroundAging and sex are major risk factors for developing late-onset Alzheimer’s disease. Compared to men, women experience worse neuropathological burden and cognitive decline despite living longer with the disease. Similarly, male 3xTg-AD mice, developed to model Alzheimer’s disease, no longer consistently exhibit standard Alzheimer’s neuropathology yet experience higher rates of mortality - providing a unique opportunity to further elucidate this dichotomy. We hypothesized that sex differences in the biological aging process yield distinct pathological and molecular Alzheimer’s disease signatures in males and females, which could be harnessed for therapeutic and biomarker development.MethodsWe aged male and female, 3xTg-AD and B6129 control mice across their respective lifespans (n = 3–8 mice per sex, strain, and age group) and longitudinally assessed neuropathological hallmarks of Alzheimer’s disease, markers of hepatic inflammation, splenic mass and morphology, as well as plasma cytokine levels. We conducted RNA sequencing analysis on bulk brain tissue and examined differentially expressed genes (DEGs) between 3xTg-AD and B6129 samples and across ages in each sex. We also examined DEGs between clinical Alzheimer’s and control parahippocampal gyrus brain tissue samples from the Mount Sinai Brain Bank study in each sex.Results3xTg-AD females significantly outlived 3xTg-AD males and exhibited progressive Alzheimer’s neuropathology, while 3xTg-AD males demonstrated progressive hepatic inflammation, splenomegaly, circulating inflammatory proteins, and minimal Alzheimer’s neuropathological hallmarks. Instead, 3xTg-AD males experienced an accelerated upregulation of immune-related gene expression in the brain relative to females. Our clinical investigations revealed that individuals with Alzheimer’s disease develop similar sex-specific alterations in neuronal and immune function. In diseased males of both species, we observed greater upregulation of complement-related gene expression, and lipopolysaccharide was predicted as the top upstream regulator of DEGs.ConclusionsOur data demonstrate that chronic inflammation and complement activation are associated with increased mortality, indicating that age-related changes in immune response contribute to sex differences in Alzheimer’s disease trajectories. We provide evidence that aging and transgene-driven disease progression trigger a widespread inflammatory response in 3xTg-AD males, which mimics the impact of lipopolysaccharide stimulation despite the absence of infection.

The Memory Binding Test Detects Early Subtle Episodic Memory Decline in Preclinical Alzheimer's Disease: A Longitudinal Study.

The asymptomatic at-risk phase might be the optimal time-window to establish clinically meaningful endpoints in Alzheimer's disease (AD). We investigated whether, compared with the Free and Cued Selective Reminding Test (FCSRT), the Memory Binding Test (MBT) can anticipate the diagnosis of emergent subtle episodic memory (EM) deficits to an at-risk phase. Five-year longitudinal FCSRT and MBT scores from 45 individuals matched for age, education, and gender, were divided into 3 groups of 15 subjects: Aβ-/controls, Aβ+/stable, and Aβ+/progressors (preclinical-AD). The MBT adds an associative memory component (binding), particularly sensitive to subtle EM decline. In the MBT, EM decline started in the Aβ+/progressors (preclinical-AD) up to 4 years prior to diagnosis in delayed free recall (FR), followed by decline in binding-associated scores 1 year later. Conversely, in the FCSRT, EM-decline began later, up to 3 years prior to diagnosis, in the same group on both immediate and delayed versions of FR, while on total recall (TR) and intrusions decline started only 1 year prior to diagnosis. The MBT seems more sensitive than the FCSRT for early EM-decline detection, regarding the year of diagnosis and the number of scores showing AD-linked EM deficits (associated with the AD-characteristic amnesic hippocampal syndrome). Considering the MBT as a detection tool of early subtle EM-decline in an asymptomatic at-risk phase, and the FCSRT as a classification tool of stages of EM-decline from a preclinical phase, these tests ought to potentially become complementary diagnostic tools that can foster therapies to delay cognitive decline. Clinical trial registration title: Electrophysiological markers of the progression to clinical Alzheimer disease in asymptomatic at-risk individuals: a longitudinal event-related potential study of episodic memory in the INSIGHT pre-AD cohort (acronym: ePARAD).

Altered Motor Activity Patterns within 10-Minute Timescale Predict Incident Clinical Alzheimer's Disease.

Fractal motor activity regulation (FMAR), characterized by self-similar temporal patterns in motor activity across timescales, is robust in healthy young humans but degrades with aging and in Alzheimer's disease (AD). To determine the timescales where alterations of FMAR can best predict the clinical onset of AD. FMAR was assessed from actigraphy at baseline in 1,077 participants who had annual follow-up clinical assessments for up to 15 years. Survival analysis combined with deep learning (DeepSurv) was used to examine how baseline FMAR at different timescales from 3 minutes up to 6 hours contributed differently to the risk for incident clinical AD. Clinical AD occurred in 270 participants during the follow-up. DeepSurv identified three potential regions of timescales in which FMAR alterations were significantly linked to the risk for clinical AD: <10, 20-40, and 100-200 minutes. Confirmed by the Cox and random survival forest models, the effect of FMAR alterations in the timescale of <10 minutes was the strongest, after adjusting for covariates. Subtle changes in motor activity fluctuations predicted the clinical onset of AD, with the strongest association observed in activity fluctuations at timescales <10 minutes. These findings suggest that short actigraphy recordings may be used to assess the risk of AD.

Graves disease is associated with increased risk of clinical Alzheimer’s disease: evidence from the Medicare system

BackgroundIdentification of modifiable risk factors for Alzheimer’s Disease (AD) onset is an important aspect of controlling the burden imposed by this disease on an increasing number of older U.S. adults. Graves disease (GD), the most common cause of hyperthyroidism in the U.S., has been hypothesized to be associated with increased AD risk, but there is no consensus. In this study, we explore the link between GD and risk of clinical AD.MethodsCox and Fine-Grey models were applied to a retrospective propensity-score-matched cohort of 19,798 individuals with GD drawn from a nationally representative 5% sample of U.S. Medicare beneficiaries age 65 + over the 1991–2020 period.ResultsResults showed that the presence of GD was associated with a higher risk of AD (Hazard Ratio [HR]:1.19; 95% Confidence Interval [CI]:1.13–1.26). Competing risk estimates were consistent with these findings (HR:1.14; CI:1.08–1.20) with the magnitude of associated risk varying across subgroups: Male (HR:1.25; CI:1.07–1.47), Female (HR:1.09; CI:1.02–1.16), White (HR:1.11; CI:1.03–1.19), and Black (HR:1.23; CI:1.02–1.49).ConclusionsOur results indicate a robust and consistent association between a diagnosis of GD and a subsequent diagnosis of AD in later stages of life. The precise biological pathways that could potentially connect these two conditions remain unclear as is the role of treatment in this relationship. Replications of these findings on datasets with both biomarkers and laboratory test results, especially in underrepresented groups is vital.

Plasma pTau181 enhances the prediction of future clinical decline in amyloid-positive mild cognitive impairment.

Plasma pTau181, a marker of amyloid and tau burden, was evaluated as a prognostic predictor of clinical decline and Alzheimer's disease (AD) progression of amyloid-positive (Aβ+) patients with mild cognitive impairment (MCI). The training cohort for constructing the Bayesian prediction models comprised 135 Aβ+ MCI clinical trial placebo subjects. Performance was evaluated in two validation cohorts. An 18-month ≥1 increase in the Clinical Dementia Rating Sum of Boxes was the clinical decline criterion. Baseline plasma pTau181 concentration matched clinical assessments' prediction performance. Adding pTau181 to clinical assessments significantly improved the prediction of an 18-month clinical decline and the 36-month progression from Aβ+ MCI to AD. The area under the receiver operating characteristic curve for the latter increased from 71.8% to 79%, and the hazard ratio for time-to-progression improved from 2.26 to 3.11 (p<0.0001). Baseline plasma pTau181 has the potential for identifying Aβ+ MCI subjects with faster clinical decline over time. This study assessed pTau181 as a prognostic predictor of 18-month clinical decline and extended progression to Alzheimer's disease (AD) in amyloid-positive patients with mild cognitive impairment (Aβ+ MCI).The research findings underscore the promise of baseline plasma pTau181 as a screening tool for identifying Aβ+ MCI individuals with accelerated clinical decline within a standard 18-month clinical trial period. The predictive accuracy is notably enhanced when combined with clinical assessments.Similar positive outcomes were noted in forecasting the extended progression of Aβ+ MCI subjects to AD.

Atherosclerosis and Hippocampal Volumes in Older Adults: The Role of Age and Blood Pressure.

Lower hippocampal volume is associated with late-life cognitive decline and is an important, but nonspecific marker for clinical Alzheimer's dementia. Cerebrovascular disease may also be associated with hippocampal volume. Here we study the role of intracranial large vessel disease (atherosclerosis) in association with hippocampal volume and the potential role of age, average late-life blood pressure across all visits, and other factors (sex, apolipoprotein ε4 [APOE ε4], and diabetes). Data came from 765 community-based older people (91 years old on average at death; 72% women), from 2 ongoing clinical-pathologic cohort studies. Participants completed baseline assessment, annual standardized blood pressure measurements, vascular risk assessment for diabetes, and blood draws to determine APOE genotype, and at death, brains were removed and underwent exvivo magnetic resonance imaging and neuropathologic evaluation for atherosclerosis pathology and other cerebrovascular and neurodegenerative pathologies. Linear regression models examined the association of atherosclerosis and hippocampal to hemisphere volume ratio and whether age at death, blood pressure, and other factors modified associations. In linear regression models adjusted for demographics and neurodegenerative and other cerebrovascular pathologies, atherosclerosis severity was associated with a lower hippocampal to hemisphere volume ratio. In separate models, we found the effect of atherosclerosis on the ratio of hippocampal to hemisphere volume was attenuated among advanced age at death or having higher systolic blood pressure (interaction terms P≤0.03). We did not find confounding or interactions with sex, diabetes, or APOE ε4. Atherosclerosis severity is associated with lower hippocampal volume, independent of neurodegenerative and other cerebrovascular pathologies. Higher systolic blood pressures and advanced age attenuate associations.

Dynamic multilayer functional connectivity detects preclinical and clinical Alzheimer's disease.

Increasing evidence suggests that patients with Alzheimer's disease present alterations in functional connectivity but previous results have not always been consistent. One of the reasons that may account for this inconsistency is the lack of consideration of temporal dynamics. To address this limitation, here we studied the dynamic modular organization on resting-state functional magnetic resonance imaging across different stages of Alzheimer's disease using a novel multilayer brain network approach. Participants from preclinical and clinical Alzheimer's disease stages were included. Temporal multilayer networks were used to assess time-varying modular organization. Logistic regression models were employed for disease stage discrimination, and partial least squares analyses examined associations between dynamic measures with cognition and pathology. Temporal multilayer functional measures distinguished all groups, particularly preclinical stages, overcoming the discriminatory power of risk factors such as age, sex, and APOE ϵ4 carriership. Dynamic multilayer functional measures exhibited strong associations with cognition as well as amyloid and tau pathology. Dynamic multilayer functional connectivity shows promise as a functional imaging biomarker for both early- and late-stage Alzheimer's disease diagnosis.

Impact of apolipoprotein E isoforms on sporadic Alzheimer's disease: beyond the role of amyloid beta.

The impact of apolipoprotein E (ApoE) isoforms on sporadic Alzheimer's disease has long been studied; however, the influences of apolipoprotein E gene (APOE) on healthy and pathological human brains are not fully understood. ApoE exists as three common isoforms (ApoE2, ApoE3, and ApoE4), which differ in two amino acid residues. Traditionally, ApoE binds cholesterol and phospholipids and ApoE isoforms display different affinities for their receptors, lipids transport and distribution in the brain and periphery. The role of ApoE in the human depends on ApoE isoforms, brain regions, aging, and neural injury. APOE ε4 is the strongest genetic risk factor for sporadic Alzheimer's disease, considering its role in influencing amyloid-beta metabolism. The exact mechanisms by which APOE gene variants may increase or decrease Alzheimer's disease risk are not fully understood, but APOE was also known to affect directly and indirectly tau-mediated neurodegeneration, lipids metabolism, neurovascular unit, and microglial function. Consistent with the biological function of ApoE, ApoE4 isoform significantly altered signaling pathways associated with cholesterol homeostasis, transport, and myelination. Also, the rare protective APOE variants confirm that ApoE plays an important role in Alzheimer's disease pathogenesis. The objectives of the present mini-review were to describe classical and new roles of various ApoE isoforms in Alzheimer's disease pathophysiology beyond the deposition of amyloid-beta and to establish a functional link between APOE, brain function, and memory, from a molecular to a clinical level. APOE genotype also exerted a heterogeneous effect on clinical Alzheimer's disease phenotype and its outcomes. Not only in learning and memory but also in neuropsychiatric symptoms that occur in a premorbid condition. Clarifying the relationships between Alzheimer's disease-related pathology with neuropsychiatric symptoms, particularly suicidal ideation in Alzheimer's disease patients, may be useful for elucidating also the underlying pathophysiological process and its prognosis. Also, the effects of anti-amyloid-beta drugs, recently approved for the treatment of Alzheimer's disease, could be influenced by the APOE genotype.

Synaptic density is correlated with Aβ plaques and neurofibrillary tau tangles across the clinical and biologic Alzheimer’s disease continuum

AbstractBackgroundThe extent to which amyloid‐β burden and neurofibrillary tau tangle burden are associated with synaptic degeneration in vivo is not well known. PET imaging was used to examine the cross‐sectional relationship between neurofibrillary tau tangle burden and amyloid‐β plaque burden with synaptic density among individuals who spanned the clinical and biologic Alzheimer’s disease continuum.MethodParticipants were recruited from the Wisconsin Alzheimer’s Disease Research Center and the Wisconsin Registry for Alzheimer’s Prevention study. N = 64 participants were included in the analysis based on completed cognitive testing, structural MR and PET imaging using [11C]PiB DVR for amyloid burden, [18F]MK‐6240 SUVR for regional neurofibrillary tau burden, and [11C]UCB‐J DVR for regional synaptic density burden analysis. Amyloid burden was indexed as a global [11C]PiB DVR representing the mean of brain regions that typically accumulate amyloid. UCB‐J DVR and MK‐6240 SUVR regions of interest were selected based on the histopathological staging of tau pathology in Alzheimer’s disease with a focus on regions of tau pathology described by earlier and later Braak stages. The first composite region of interest (ROI1) comprised the hippocampus and entorhinal cortex, and the second (ROI2) comprised the amygdala, fusiform, lingual gyrus, and the inferior temporal gyrus. Linear correlations (Pearson’s r) tested the relationship between UCB‐J DVR and PiB DVR, as well as UCB‐J DVR and MK‐6240 SUVR.ResultGlobal [11C]PiB DVR showed a moderate negative relationship with UCB‐J DVR in ROI1 (r = ‐0.42, p = 0.0006) and a weak relationship with UCB‐J DVR in ROI2 (r = ‐0.33, p = 009). [18F]MK‐6240 SUVR and UCB‐J DVR were negatively correlated in ROI1 (r = ‐0.44, p = 0.0003) and in ROI2 (r = ‐0.42, p = 0.005).ConclusionBoth amyloid burden and tau pathology were associated with lower synaptic density. Tau and synaptic density appeared to show moderate correlations among brain regions involved in both earlier and more advanced tau pathology, whereas amyloid burden appeared to be more strongly related to synaptic density in brain regions where more advanced disease is typically observed.

Synaptic density is correlated with Aβ plaques and neurofibrillary tau tangles across the clinical and biologic Alzheimer’s disease continuum

AbstractBackgroundThe extent to which amyloid‐ß burden and neurofibrillary tau tangle burden are associated with synaptic degeneration in vivo is not well known. PET imaging was used to examine the cross‐sectional relationship between neurofibrillary tau tangle burden and amyloid‐ß plaque burden with synaptic density among individuals who spanned the clinical and biologic Alzheimer’s disease continuum.MethodParticipants were recruited from the Wisconsin Alzheimer’s Disease Research Center and the Wisconsin Registry for Alzheimer’s Prevention study. N = 64 participants were included in the analysis based on completed cognitive testing, structural MR and PET imaging using [11C]PiB DVR for amyloid burden, [18F]MK‐6240 SUVR for regional neurofibrillary tau burden, and [11C]UCB‐J DVR for regional synaptic density burden analysis. Amyloid burden was indexed as a global [11C]PiB DVR representing the mean of brain regions that typically accumulate amyloid. UCB‐J DVR and MK‐6240 SUVR regions of interest were selected based on the histopathological staging of tau pathology in Alzheimer’s disease with a focus on regions of tau pathology described by earlier and later Braak stages. The first composite region of interest (ROI1) comprised the hippocampus and entorhinal cortex, and the second (ROI2) comprised the amygdala, fusiform, lingual gyrus, and the inferior temporal gyrus. Linear correlations (Pearson’s r) tested the relationship between UCB‐J DVR and PiB DVR, as well as UCB‐J DVR and MK‐6240 SUVR.ResultGlobal [11C]PiB DVR showed a moderate negative relationship with UCB‐J DVR in ROI1 (r = ‐0.42, p = 0.0006) and a weak relationship with UCB‐J DVR in ROI2 (r = ‐0.33, p = 009). [18F]MK‐6240 SUVR and UCB‐J DVR were negatively correlated in ROI1 (r = ‐0.44, p = 0.0003) and in ROI2 (r = ‐0.42, p = 0.005).ConclusionBoth amyloid burden and tau pathology were associated with lower synaptic density. Tau and synaptic density appeared to show moderate correlations among brain regions involved in both earlier and more advanced tau pathology, whereas amyloid burden appeared to be more strongly related to synaptic density in brain regions where more advanced disease is typically observed.

Topographical pattern of blood‐brain barrier impairment in preclinical and clinical Alzheimer’s disease

AbstractBackgroundWhile blood‐brain barrier (BBB) damage in some brain regions has been suggested in Alzheimer’s disease (AD) dementia and mild cognitive impairment (MCI), the topographical pattern of BBB impairment associated with AD process in whole brain level is still poorly understood. Using high‐resolution 3‐dimensional (3D) dynamic contrast‐enhanced (DCE) scans of BBB permeability (K trans) for the whole brain, we aimed to reveal topographical pattern of BBB impairment related to Alzheimer’s disease (AD) including preclinical as well as clinically impaired state.MethodNinety‐one participants were included in the study [45 cognitively normal (CN) older adults, 24 individuals with mild cognitive impairment (MCI), and 22 patients with AD dementia]. Comprehensive clinical and neuropsychological assessments were administered to all participants. High‐resolution DCE‐ as well as T1‐weighted‐MRI scans were obtained in addition to amyloid‐PET scans. Amyloid‐beta (Ab) positivity was obtained using previously established cut‐offs. Preprocessing of K trans maps incorporated FreeSurfer‐based (v6.0) segmentation to ensure exclusion of the voxels within cerebrospinal fluid (CSF) spaces. Voxel‐wise analyses were conducted using SPM12 implemented in MATLAB 2018b.ResultSubtle BBB impairment, as measured by K trans map images based on high‐resolution 3D DCE‐MRI, was observed at multiple brain regions even in preclinical AD (i.e., Ab‐positive CN) as well as AD with cognitive impairment (i.e., Ab‐positive MCI and AD). The brain regions with impaired K trans closely corresponded to the AD‐signature regions (Figure). Compared to Ab‐negative CN, Ab‐positive CN showed increased breakdown of BBB in the precuneus, posterior‐cingulate cortex, and medial temporal lobe. Moreover, compared to Ab‐negative CN, Ab‐positive MCI and AD patients showed increased breakdown of BBB in more diffuse regions including bilateral frontal, parietal and inferior temporal areas. In contrast, when using low‐resolution BBB images for the same participants, BBB damage was not detected in preclinical AD and observed at only limited brain regions in AD with cognitive impairment.ConclusionWe demonstrated topographical pattern of BBB impairment associated with preclinical AD as well as AD with cognitive impairment through technically advanced high‐resolution DCE‐MRI. The findings suggest that subtle BBB changes detectable from high‐resolution DCE‐MRI has potential as a biomarkers for detection and monitoring of BBB impairment in whole AD continuum.

Ante‐mortem magnetic resonance imaging grey‐white matter contrast regional signatures of Alzheimer’s disease neuropathology

AbstractBackgroundGrey matter (GM), white matter (WM) contrast (GWC) in T1‐weighted MRI has been shown to decrease with age in healthy populations and cognitive impairment in clinical Alzheimer’s Disease (AD). However, the neuropathological determinants of this signal remain unknown. Here, we aimed to study whether GWC is associated with AD neuropathology and longitudinal hippocampal atrophy.Method157 patients with neuropathological, clinical data and ante‐mortem MRI were selected from the National Alzheimer’s Coordinating Center database. Cortical volume and GWC (WM/GM intensity) in T1/MRI were obtained with Freesurfer 6.0. Hippocampal volume was divided into anterior, intermediate and posterior regions using a lab‐based algorithm. Correlational analysis was conducted for GWC with age, and GWC residuals after linear regression with age for volume, BRAAK stage (neurofibrillary tangles), CERAD score (neuritic plaque density) and Cognitive Dementia Rating Sum‐of‐Boxes (CDR‐SB). APOE genotypes were compared using one‐way‐ANOVA.ResultGWC was negatively correlated with age in widespread brain areas (p &lt; 0.05, FDR), but only the entorhinal cortex showed a positive correlation between volume and GWC. There were no significant correlations between GWC and BRAAK stage, CERAD score, CDR‐SB or differences according to APOE genotype. Entorhinal GWC correlated positively only with the posterior hippocampal volume in BRAAK III‐IV.ConclusionGWC is highly modulated by age, but not by classical AD neuropathology, APOE genotype or dementia severity in this cohort. Entorhinal GWC correlates with entorhinal and posterior hippocampal volume, suggesting it might reflect an early pathophysiological process distinct from classical AD neuropathology.